[Purpose/significance] As a highly computational humanities and social sciences discipline, information science has the characteristics of data science. Big data related technology can provide an effective means for information science. Therefore, establishing the information science oriented "Data Science and Big Data Technology" discipline that aims at training inter-disciplinary talents can promote the development of information science, and these talents have big data thinking and solid information science professional basis, mastering big data processing technology and analytical theory applied to the theory and practice of information science.[Method/process] We investigated the training objectives and curriculum model of big data related majors at home and abroad, summarized the development characteristics of subject education, and combined the teaching resources of domestic to design a training plan for big data professionals with information science orientation.[Result/conclusion] There are both connections and differences between information science and big data. Information science provides basic research methods for big data, promotes the fusion of multiple source data, and broadens the application fields of big data. Big data provides more possibilities for information science research, enriches research methods, improves research efficiency, and expands the scope of research. There are both necessity and irreplaceability of the talent training of information science oriented "data science and big data technology" discipline. It will fill the gap in this professional education in China. It is necessary to further reform and innovate the disciplinary system, and to establish more emerging courses that closely integrate big data and information science, such as literature big data analysis and user big data research, so as to systematically cultivate students' ability to integrate knowledge in the field of information science with computer technology and big data technology.
Chen Mo
,
Li Guangjian
,
Chen Congcong
. Talent Training of Information Science Oriented “Data Science and Big Data Technology” Discipline[J]. Library and Information Service, 2019
, 63(12)
: 5
-11
.
DOI: 10.13266/j.issn.0252-3116.2019.12.001
[1] 苏新宁.大数据时代情报学学科崛起之思考[J].情报学报,2018,37(5):451-459.
[2] 巴志超,李纲,周利琴,等.数据科学及其对情报学变革的影响[J].情报学报,2018,37(7):653-667.
[3] 苏日娜,杨沁.LIS学科中数据科学课程体系设置研究——以iSchools高校课程调研为中心[EB/OL].[2019-03-19].http://kns.cnki.net/kcms/detail/44.1306.G2.20181009.0828.002.html.
[4] 阮敬,刘宏晶,纪宏.国外大数据硕士人才培养的经验与启示——基于大数据文本挖掘[J].统计与信息论坛,2017,32(9):29-36.
[5] 曾粤亮.国外iSchools数据科学项目人才培养模式的特点与启示[J].知识、学习与管理,2018,184(4):109-118.
[6] 中华人民共和国教育部.教育部关于公布2015年度普通高等学校本科专业备案和审批结果的通知[EB/OL].[2018-07-01]. http://www.moe.edu.cn/srcsite/A08/moe_1034/s4930/201603/t20160304_231794.html.
[7] 中华人民共和国教育部.教育部关于公布2016年度普通高等学校本科专业备案和审批结果的通知[EB/OL].[2018-07-01]. http://www.moe.gov.cn/srcsite/A08/moe_1034/s4930/201703/t20170317_299960.html.
[8] 中华人民共和国教育部.教育部关于公布2017年度普通高等学校本科专业备案和审批结果的通知[EB/OL].[2018-07-01]. http://www.moe.gov.cn/srcsite/A08/moe_1034/s4930/201803/t20180321_330874.html.
[9] 对外经济贸易大学.信息学院数据科学与大数据技术专业培养方案[EB/OL].[2018-07-01]. http://jwc.uibe.edu.cn:82/ADMINUI/UploadFiles/files/1_linjingtan/201710201540083994.pdf.
[10] New York university. MS in data science curriculum[EB/OL].[2018-07-01].https://cds.nyu.edu/academics/ms-in-data-science/ms-curriculum.
[11] 北京大学.北京大学本科教学计划(2016版)(理科卷)[EB/OL].[2018-07-01].http://www.dean.pku.edu.cn/userfiles/upload/download/201804242014397998.pdf.
[12] King's College London. Big data in culture & society[EB/OL].[2018-07-01].https://www.kcl.ac.uk/study/postgraduate/taught-courses/digital-humanities-ma.aspx.
[13] 包昌火.情报研究方法论[M].北京:科学技术文献出版社,1990.
[14] 广东数鼎科技有限公司.招聘信息[EB/OL].[2019-02-02]. http://www.yingjiesheng.com/job-003-813-711.html.
[15] 湖南省长沙市图书馆.招聘信息[EB/OL].[2019-02-02]. http://www.yingjiesheng.com/job-003-850-173.html.
[16] Whitehouse. Big data across the federal government[EB/OL].[2018-07-01]. http://www.Whitehouse.gov/sites/default/files/microsites/ostp/big_data_fact_sheet_final.pdf.
[17] 涂子沛.大数据及其成因[J].科学与社会,2014,4(1):14-26.
[18] SONG M, KANG K, JU Y. Investigating drug-disease interactions in drug-symptom-disease triples via citation relations[J]. Journal of the Association for Information Science and Technology,2018,69(11):1355-1368.
[19] 冯元为.基于知识图谱构建人物关系的设计与实现[D].重庆:重庆大学,2016.
[20] 李广建,化柏林.大数据分析与情报分析关系辨析[J].中国图书馆学报,2014,40(5):14-22.
